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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
EEEN 303SIGNALS AND SYSTEMS3 + 04th Semester4

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Compulsory
Course Objective The course is designed to familiarize students with the techniques for analyzing continuous-time as well as discrete-time systems. Some transformations as time domain and frequency domain signal analysis tools are studied, and the subjects of filtering and modulation are introduced as signal processing techniques both in continuous-time and discrete-time.
Course Content Basics of continuous-time and discrete-time signals and systems. Linear time-invariant systems; Convolution. The Laplace trasform and its properties. The z-transform and its properties. Fourier Series representation of continuous-time Periodic signals; properties of Fourier series; filtering concepts. .
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1-
1-

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
LO 001            
Sub Total            
Contribution000000000000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Mid-terms13131
Final examination13131
Total Work Load

ECTS Credit of the Course






104

4
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2023-2024 Spring1ADİLE AKPUNAR BOZKURT
Details 2022-2023 Spring1ERDEM DİLMEN


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
EEEN 303 SIGNALS AND SYSTEMS 3 + 0 1 Turkish 2023-2024 Spring
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Lecturer ADİLE AKPUNAR BOZKURT aakpunar@pau.edu.tr TEK A0006 %70
Goals The course is designed to familiarize students with the techniques for analyzing continuous-time as well as discrete-time systems. Some transformations as time domain and frequency domain signal analysis tools are studied, and the subjects of filtering and modulation are introduced as signal processing techniques both in continuous-time and discrete-time.
Content Basics of continuous-time and discrete-time signals and systems. Linear time-invariant systems; Convolution. The Laplace trasform and its properties. The z-transform and its properties. Fourier Series representation of continuous-time Periodic signals; properties of Fourier series; filtering concepts. .
Topics
WeeksTopics
1 Introduction to signals and systems
2 Continuous-time signals and systems
3 Impulse response and convolution
4 Laplace transform
5 Laplace transform
6 Discrete-time signals and systems
7 Z-transform
8 Z-transform
9 Continuous-time Fourier transform
10 Continuous-time Fourier transform
11 Discrete-time Fourier transform
12 Discrete-time Fourier transform
13 State-space analysis
14 State-space analysis
Materials
Materials are not specified.
Resources
ResourcesResources Language
Sinyaller ve Sistemler, Schaum's SerisiTürkçe
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes